Development of Web-Based Multi-Restaurant Management System

This research presents the design and development of a full-featured Multi-Restaurant Management Web Application aimed at revolutionizing how restaurants and users interact in a digital ecosystem. With the increasing demand for digital dining solutions and the growing popularity of food delivery and smart dining systems, our system offers a one-stop solution that bridges the gap between physical restaurant services and online convenience. Built using the MERN stack— MongoDB, Express.js, React.js, and Node.js—the platform offers a robust, scalable, and modular architecture. The application allows users to register, browse through multiple restaurants, view dynamic menus with real-time pricing, and either place online orders or opt for dine-in reservations. Each restaurant, once registered through a secure authentication process, gains access to an extensive suite of tools for managing their day-to-day operations. This includes CRUD functionality for menu and pricing updates, staff and table management, order tracking, and integrated parking slot systems. Furthermore, the platform includes secure payment systems, real-time notifications, and personalized user dashboards. This paper elaborates on the platform’s architecture, implementation methodologies, database design, core functionalities, testing strategies, and deployment infrastructure. Through agile development practices and cloud-based deployment, the system provides a modern and practical solution to the complex requirements of running multi-restaurant services digitally. It stands as a scalable and extensible base for future enhancements such as AI-driven recommendations, loyalty systems, and advanced analytics. Keywords: Multi-restaurant system, MERN stack, dining system, restaurant management, online ordering, CRUD operations, web application.

Authors

Publication Details

Journal
International Scientific Journal of Engineering and Management
Published
2025-04-19
DOI
https://doi.org/10.55041/isjem02922
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of Web-Based Multi-Restaurant Management System

Madhuri Borawake
International Scientific Journal of Engineering and Management
Technology Adoption and User Behaviour
article

Development of Web-Based Multi-Restaurant Management System

Madhuri Borawake
article en

Abstract

This research presents the design and development of a full-featured Multi-Restaurant Management Web Application aimed at revolutionizing how restaurants and users interact in a digital ecosystem. With the increasing demand for digital dining solutions and the growing popularity of food delivery and smart dining systems, our system offers a one-stop solution that bridges the gap between physical restaurant services and online convenience. Built using the MERN stack— MongoDB, Express.js, React.js, and Node.js—the platform offers a robust, scalable, and modular architecture. The application allows users to register, browse through multiple restaurants, view dynamic menus with real-time pricing, and either place online orders or opt for dine-in reservations. Each restaurant, once registered through a secure authentication process, gains access to an extensive suite of tools for managing their day-to-day operations. This includes CRUD functionality for menu and pricing updates, staff and table management, order tracking, and integrated parking slot systems. Furthermore, the platform includes secure payment systems, real-time notifications, and personalized user dashboards. This paper elaborates on the platform’s architecture, implementation methodologies, database design, core functionalities, testing strategies, and deployment infrastructure. Through agile development practices and cloud-based deployment, the system provides a modern and practical solution to the complex requirements of running multi-restaurant services digitally. It stands as a scalable and extensible base for future enhancements such as AI-driven recommendations, loyalty systems, and advanced analytics. Keywords: Multi-restaurant system, MERN stack, dining system, restaurant management, online ordering, CRUD operations, web application.

International Scientific Journal of Engineering and ManagementVol. 04(04)
Openalex Percentile: Top 92%
Technology Adoption and User Behaviour
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